rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Propensity score matching with SPSS
    sub title: logistic regression analysis for cross-sectional data
  title info:
    title: Propensity score matching with Statistical Package for the Social Sciences
  name:
    name part: Sung, Baksun
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Case studies.
  origin info:
    place:
      place term: enk
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: This case study presents the use of propensity score matching for measuring causal effects of e-cigarette use on smoking cessation in cross-sectional data. Compared with experimental studies, observational studies are vulnerable to selection bias. To identify a more robust measure of the association between e-cigarette use and smoking cessation, propensity score matching was applied in the study. This case study describes the problem of selection effects and the use of cross-sectional methods that minimize the selection bias in representing the influence of e-cigarette use on smoking cessation. This case study uses data from the sixth Korea National Health and Nutrition Examination Survey (2013-2015) of 2,965 adult smokers aged 19 years and older, and it takes a stage-by-stage approach to explain how to conduct propensity score matching using statistical software package SPSS 23.0. This case study can help other researchers and students learn how to understand the concept of propensity score matching, conduct propensity score matching, and interpret the results of propensity score matching.
  target audience: specialized
  note: Baksun Sung.
  note: Includes bibliographical references and index.
  subject:
    name:
      name part: SPSS Inc.
    genre: Case studies
  subject:
    name:
      name part: SPSS Inc.
  subject:
    topic: Regression analysis
    genre: Case studies
  subject:
    topic: Electronic cigarettes
    topic: Research
    genre: Case studies
  subject:
    topic: Smoking cessation
    topic: Research
    genre: Case studies
  subject:
    topic: Analyse de régression
    genre: Études de cas
  subject:
    topic: Cigarettes électroniques
    topic: Recherche
    genre: Études de cas
  subject:
    topic: Tabagisme
    topic: Traitement
    genre: Méthodes
    topic: Recherche
    genre: Études de cas
  subject:
    topic: Regression analysis
  classification: RC567 .S86 2020
  classification: 616.86506
  related item:
    title info:
      title: SAGE Research Methods Cases: Medicine and Health
  identifier: 9781529719468
  identifier: 1529719461
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 200123
    record change date: 20240923170308.9
    record identifier: in00005494274
    language of cataloging:
      language term: eng